Dr. Francis Collins, director of the NIH, details how MIT researchers have developed a new low-energy imaging approach called three-photon microscopy that allows exploration of all six layers of the visual cortex in a mammal’s brain. Collins notes that the researchers are proving themselves to be “biological explorers of the first order.”
WCVB-TV’s Mike Wankum visits the Edgerton Center and sits down with Associate Director James Bales to talk about the center’s work with high-speed imaging. The center offers an annual high-speed imaging course “that is geared for just about everyone,” Bales explains. “You will walk out of here knowing what you can and cannot do with the cameras.”
In an article for Forbes about how AI could improve healthcare, Bernard Marr highlights an algorithm developed by MIT researchers that can analyze 3-D scans up to 1,000 times faster than is currently possible. “When saving minutes can mean saving lives, AI and machine learning can be transformative,” writes Marr.
WCVB reporter Mike Wankum visits the Camera Culture Group at the MIT Media Lab to learn more about a device that uses photon imaging to see through dense fog. Wankum explains that the device can, “calculate how fog typically reflects laser light and then removes the fog from the equation, revealing an image hidden inside.”
Emily Matchar of Smithsonian details research out of the Media Lab, which seeks to help both autonomous and standard vehicles avoid obstacles in heavy fog conditions. “You’d see the road in front of you as if there was no fog,” says graduate student and lead researcher Guy Satat. “[O]r the car would create warning messages that there’s an object in front of you.”
MIT Media Lab researchers have created a system that can detect obstacles through fog that are not visible to the human eye, writes Darren Weaver for CNBC. “The goal is to integrate the technology into self-driving cars so that even in bad weather, the vehicles can avoid obstacles,” explains Warren.
MIT researchers have developed a new imaging system that could allow autonomous vehicles to see through dense fog, writes Andrew Liszewski of Gizmodo. The laser-based system, which used a new processing algorithm, was able “to clearly see objects 21 centimeters further away than human eyes could discern,” Liszewski writes.
MIT researchers have “discovered a slight difference in how humans produce the building blocks of DNA compared to how bacteria does it,” writes Fiona McMillan for Forbes. The comparison of human and bacterial enzymes “bodes well for the possible development of new antibiotics,” explains McMillan.
Graduate student Achuta Kadambi speaks with the BBC’s Gareth Mitchell about the new depth sensors he and his colleagues developed that could eventually be used in self-driving cars. “This new approach is able to obtain very high-quality positioning of objects that surround a robot,” Kadambi explains.
Using video to processes shadows, MIT researchers have developed an algorithm that can see around corners, writes Alyssa Meyers for The Boston Globe. “When you first think about this, you might think it’s crazy or impossible, but we’ve shown that it’s not if you can understand the physics of how light propagates,” says lead author and MIT graduate Katie Bouman.
CSAIL researchers have developed a system that detects objects and people hidden around blind corners, writes Anthony Cuthbertson for Newsweek. “We show that walls and other obstructions with edges can be exploited as naturally occurring ‘cameras’ that reveal the hidden scenes beyond them,” says lead author and MIT graduate Katherine Bouman.
MIT researchers have developed a new system that can spot moving objects hidden from view by corners, reports Douglas Heaven for New Scientist. “A lot of our work involves finding hidden signals you wouldn’t think would be there,” explains lead author and MIT graduate Katie Bouman.
Wired reporter Matt Simon writes that MIT researchers have developed a new system that analyzes the light at the edges of walls to see around corners. Simon notes that the technology could be used to improve self-driving cars, autonomous wheelchairs, health care robots and more.
Boston Magazine reporter Jamie Ducharme writes that MIT researchers have developed a non-invasive technique for assessing cells, which could eventually be used to help diagnose diseases. The researchers are “working with doctors at Massachusetts General Hospital, who hope to use the technique to study diseases such as cancer and asthma.”
CSAIL researchers have developed a new system that allows camera-equipped drones to maintain certain framing parameters of an aerial shot, Sean O’Kane for The Verge. O’Kane explains that the system allows directors to define basic parameters of a shot and to alter the “settings on the fly and the drone will adjust how it’s filming accordingly.”